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Michael Sioutis
Chaire de Professeur Junior
20
Documents
Affiliations actuelles
- 1100633
- 1100620
- 1100589
- 441569
Identifiants chercheurs
- michael-sioutis
- 0000-0001-7562-2443
- IdRef : 199746524
- Google Scholar : https://scholar.google.fr/citations?user=a_QQC-sAAAAJ
Présentation
My name is Michael Sioutis (Μιχαήλ Σιούτης in Greek) and, as of January 2023, I am a tenure-track [Junior Professor](https://www.enseignementsup-recherche.gouv.fr/fr/des-carrieres-plus-attractives-les-chaires-de-professeur-junior-46095) of Hybrid Artificial Intelligence, affiliated with the Faculty of Sciences of the [University of Montpellier](https://www.umontpellier.fr/en/) and the [Laboratory of Computer Science, Robotics and Microelectronics of Montpellier](https://www.lirmm.fr/lirmm-en/). I will be working together with the [COCONUT](https://www.lirmm.fr/coconut/index.php) team, and the rest of the lab, on the interplay between knowledge representation and machine learning, especially in the context of attaining spatiotemporally-informed AI frameworks.
Please consult my [Personal Homepage](http://msioutis.gitlab.io/) for information about my publications and software development, and more details about me in general.
Je m'appelle Michael Sioutis (Μιχαήλ Σιούτης en grec) et, depuis janvier 2023, je suis un [Junior Professor](https://www.enseignementsup-recherche.gouv.fr/fr/des-carrieres-plus-attractives-les-chaires-de-professeur-junior-46095) tenure-track d'Intelligence Artificielle Hybride, affiliée à la Faculté des Sciences de l'[Université de Montpellier](https://www.umontpellier.fr/) et de la [Laboratoire d'Informatique, Robotique et Microélectronique de Montpellier](https://www.lirmm.fr/). Je travaillerai avec l'équipe [COCONUT](https://www.lirmm.fr/coconut/index.php) et le reste du laboratoire sur l'interaction entre la représentation des connaissances et l'apprentissage automatique, notamment dans le contexte d’atteindre des cadres d’IA informés sur l’espace et le temps.
Veuillez consulter ma [page d'accueil personnelle](http://msioutis.gitlab.io/) pour plus d'informations sur mes publications et le développement de logiciels, et plus de détails sur moi en général.
Publications
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Collective singleton-based consistency for qualitative constraint networks: Theory and practiceTheoretical Computer Science, 2019, 797, pp.17-41. ⟨10.1016/j.tcs.2019.02.028⟩
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hal-02067896v1
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Studying the use and effect of graph decomposition in qualitative spatial and temporal reasoningKnowledge Engineering Review, 2017, 32, pp.e4. ⟨10.1017/S026988891600014X⟩
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hal-02067922v1
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An Efficient Approach for Tackling Large Real World Qualitative Spatial NetworksInternational Journal on Artificial Intelligence Tools, 2016, 25 (02), pp.1550031. ⟨10.1142/S0218213015500311⟩
Article dans une revue
hal-02067950v1
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A Hybrid Evolutionary Algorithm for Maximizing Satisfiability in Temporal or Spatial Qualitative Constraints10th Hellenic Conference on Artificial Intelligence (SETN 2018), Jul 2018, Patras, Greece. pp.1-9, ⟨10.1145/3200947.3201021⟩
Communication dans un congrès
hal-02067920v1
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Collective Singleton-Based Consistency for Qualitative Constraint Networks24th International Symposium on Temporal Representation and Reasoning (TIME 2017), Oct 2017, Mons, Belgium. ⟨10.4230/LIPIcs.TIME.2017.19⟩
Communication dans un congrès
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Efficiently Enforcing Path Consistency on Qualitative Constraint Networks by Use of AbstractionTwenty-Sixth International Joint Conference on Artificial Intelligence, Aug 2017, Melbourne, Australia. pp.1262-1268, ⟨10.24963/ijcai.2017/175⟩
Communication dans un congrès
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A Lazy Algorithm to Efficiently Approximate Singleton Path Consistency for Qualitative Constraint Networks29th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2017), Nov 2017, Boston, United States. pp.110-117, ⟨10.1109/ICTAI.2017.00028⟩
Communication dans un congrès
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Local Search for Maximizing Satisfiability in Qualitative Spatial and Temporal Constraint NetworksArtificial Intelligence: Methodology, Systems, and Applications - 17th International Conference (AIMSA 2016), Sep 2016, Varna, Bulgaria. pp.247-258, ⟨10.1007/978-3-319-44748-3_24⟩
Communication dans un congrès
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A SAT Approach for Maximizing Satisfiability in Qualitative Spatial and Temporal Constraint NetworksPrinciples of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference (KR 2016), Apr 2016, Cape Town, South Africa
Communication dans un congrès
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Ordering Spatio-Temporal Sequences to Meet Transition Constraints: Complexity and Framework11th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2015), Sep 2015, Bayonne, France. pp.130-150, ⟨10.1007/978-3-319-23868-5_10⟩
Communication dans un congrès
hal-01385350v1
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On the use and effect of graph decomposition in qualitative spatial and temporal reasoning30th Annual ACM Symposium on Applied Computing, Apr 2015, Salamanca, Spain. pp.1874-1879, ⟨10.1145/2695664.2695831⟩
Communication dans un congrès
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Efficiently Characterizing Non-Redundant Constraints in Large Real World Qualitative Spatial NetworksTwenty-Fourth International Joint Conference on Artificial Intelligence, Jul 2015, Buenos Aires, Argentina
Communication dans un congrès
hal-02068039v1
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A Simple Decomposition Scheme for Large Real World Qualitative Constraint NetworksTwenty-Eighth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2015), May 2015, Hollywood, Florida, United States
Communication dans un congrès
hal-02070301v1
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Generalized Qualitative Spatio-Temporal Reasoning: Complexity and Tableau MethodAutomated Reasoning with Analytic Tableaux and Related Methods - 24th International Conference (TABLEAUX 2015), Sep 2015, Wroclaw, Poland. pp.54-69, ⟨10.1007/978-3-319-24312-2_5⟩
Communication dans un congrès
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A Practical Approach for Maximizing Satisfiability in Qualitative Spatial and Temporal Constraint Networks27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2015), Nov 2015, Vietri sul Mare, Italy. pp.445-452, ⟨10.1109/ICTAI.2015.73⟩
Communication dans un congrès
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Incrementally Building Partially Path Consistent Qualitative Constraint NetworksArtificial Intelligence: Methodology, Systems, and Applications - 16th International Conference (AIMSA 2014), Sep 2014, Varna, Bulgaria. pp.104-116, ⟨10.1007/978-3-319-10554-3_10⟩
Communication dans un congrès
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Vertex Incremental Path Consistency for Qualitative Constraint NetworksArtificial Intelligence: Methods and Applications - 8th Hellenic Conference on AI (SETN 2014), May 2014, Ioannina, Greece. pp.454-459, ⟨10.1007/978-3-319-07064-3_39⟩
Communication dans un congrès
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Tackling Large Qualitative Spatial Networks of Scale-Free-Like StructureArtificial Intelligence: Methods and Applications - 8th Hellenic Conference on AI (SETN 2014), May 2014, Ioannina, Greece. pp.178-191, ⟨10.1007/978-3-319-07064-3_15⟩
Communication dans un congrès
hal-02068087v1
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A Qualitative Spatio-Temporal Framework Based on Point AlgebraArtificial Intelligence: Methodology, Systems, and Applications - 16th International Conference (AIMSA 2014), Sep 2014, Varna, Bulgaria. pp.117-128, ⟨10.1007/978-3-319-10554-3_11⟩
Communication dans un congrès
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Efficient Approach to Solve the Minimal Labeling Problem of Temporal and Spatial Qualitative Constraints23th International Joint Conference on Artificial Intelligence (IJCAI'13), Aug 2013, Beijing, China. pp.696-702
Communication dans un congrès
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